Job Description Job Description Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency. Powered by LOIS , the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine's rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Overview The Principal Data Analyst will play a key role in executing Filevine's data and analytics initiatives. Reporting directly to executive leadership, this individual will manage daily analytics operations, deliver corporate metrics, and produce actionable insights to support operational excellence and strategic decision-making across the organization. This position requires a balance of strong technical proficiency, business acumen, and solid communication skills. The ideal candidate will be a hands-on analytical practitioner who can design and deliver high-quality analyses while engaging confidently with executive stakeholders. Responsibilities Work closely with the CEO on ad-hoc or other impromptu projects, providing rapid analytical support and insights. Lead daily operations for the corporate analytics function, overseeing the development and delivery of executive-level dashboards, KPIs, and routine reporting. Partner with functional leaders to identify and interpret key trends across product usage, customer health, financial performance, and organizational initiatives. Conduct complex analyses that inform strategic priorities and operational decisions. Build and maintain robust data pipelines and models within Domo, integrating data from Salesforce, Snowflake, HubSpot, the Filevine Platform, and other enterprise systems. Ensure data integrity, consistency, and precision across all reporting outputs. Implement frameworks for tracking key SaaS metrics and KPIs, including ARR, GRR, NRR, churn, customer engagement, and retention. Communicate findings clearly to both technical and non-technical audiences, translating complex data into actionable business insights. Partner cross-functionally with Finance, Operations, Product, and Customer Success teams to align analytics outputs with organizational goals. Qualifications Bachelor's degree in Data Analytics, Statistics, Business, Economics, or a related field. 4–6+ years of experience in data analytics or business intelligence, with experience leading ad-hoc projects. Demonstrated ability to guide projects and support team development. Expertise in SQL and hands-on experience working with large, complex data environments. Strong proficiency with Domo or equivalent BI tools (e.g., Tableau, Power BI, Looker). Solid understanding of Salesforce data structures and data integration practices. Familiarity with SaaS business models and key financial metrics. Strong communication skills with the ability to effectively present insights to senior stakeholders. High attention to detail, with a commitment to accuracy, data governance, and analytical rigor. Work Location Expectation: Unless otherwise specified, this position is based out of our San Francisco, Chicago, Salt Lake City or New York offices. Candidates residing in or near these metro areas are expected to work on a hybrid (2-3 days in-office/week) or fully onsite basis. Cool Company Benefits A dynamic, rapidly growing company, focused on helping organizations thrive Medical, Dental, & Vision Insurance (for full-time employees) Competitive & Fair Pay Maternity & paternity leave (for full-time employees) Short & long-term disability Opportunity to learn from a dedicated leadership team Top-of-the-line company swag Privacy Policy Notice Filevine will handle your personal information according to what's outlined in our Privacy Policy. Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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About Citylitics Inc. Citylitics delivers predictive intelligence on where, how, and why infrastructure investments will occur across North America. Infrastructure includes the foundational systems that shape our quality of life: water, transportation, transit, roads and highways, broadband, and power. It represents a multi-trillion-dollar market and a 20+ year megatrend in North America. Citylitics transforms millions of documents across more than 40,000 cities, utilities, and public agencies into real-time market signals and high-value sales intelligence. Leading infrastructure vendors, engineering firms, and construction companies use the platform to identify and pre-position for major infrastructure opportunities earlier, helping them build relationships, shape project priorities, and influence scope before projects move to formal procurement. Citylitics combines a network of AI agents, fine-tuned models, a proprietary infrastructure signals graph, and daily human-in-the-loop quality assurance workflows to deliver highly nuanced and reliable sales intelligence. The platform integrates seamlessly with CRMs, ERPs, and data lakes, embedding actionable insights directly into sales workflows so teams can prioritize the right pursuits and build stronger pipelines. Our mission is to improve how infrastructure investments get made so critical needs can be addressed earlier and communities benefit from stronger, more resilient infrastructure. Join Citylitics to work in a meaningful industry that will matter for decades to come while helping grow a company at the forefront of applied AI. We operate with a Results-Driven Mentality and a commitment to Raise The Bar, in a collaborative environment where Teamwork Makes the Dream Work as we tackle big challenges and celebrate wins together. Who Are We Looking For? We're looking for a skilled and enthusiastic Data Engineer to join our growing team! We're a close-knit group building and maintaining mission-critical data products, and we need someone who can hit the ground running. This role requires a strong command of data engineering best practices, a track record with orchestration and data warehouses, and hands-on experience shipping LLM and agentic workflows to production. You'll own the design, build, and operation of production data pipelines that use AI to power customer-facing solutions. You'll work with technologies we already use, including GCP services like Cloud Composer, Cloud SQL, BigQuery, and Vertex AI. Beyond the technical skills, we value collaboration, sound engineering judgment, and the ability to adapt as AI tooling changes fast. If you're passionate about data, have put AI into production and want to do more of it, and are excited by impactful projects, we encourage you to apply. This is a hybrid role based out of Citylitics? Toronto office and requires 3+ days in-office per week. What Will You Accomplish? / How You Will Make An Immediate Impact: Pipeline Orchestration: Lead the development of highly performant, reliable, and maintainable pipelines using Airflow and BigQuery, from architecture and design through testing, deployment, monitoring, and maintenance. You'll make design decisions independently and own the systems you build. Data Modeling & Dashboards: Partner with data analysts and stakeholders to define requirements and design scalable data models and applications. You'll own data products end to end, from the pipelines and models through the backend APIs to the customer-facing dashboards and apps built on them. AI & Agentic Workflows: Design and operate pipelines that use LLMs and agents to turn raw documents into structured, useful data. This includes prompt and context design, tool and func
Standard Job Description Delivers full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and at speed. It includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis; Design and implement data solutions by defining functional capabilities, security, back-up, and recovery specifications; Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics; Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; Define standards, best practices, and certification processes for data objects Basic Qualifications Bachelor's degree in Computer Science or STEM Field AI interest and knowledge Understanding of SQL Some experience with a database manager (PG Admin for DBeaver, SQL Server Manager) Data flow support – Python Basic system design skills – knowing inputs and flows Strong analytical and problem-solving skills, with the ability to think critically and creatively. Experience in supporting change management initiatives or process improvement projects. Ability to work collaboratively with cross-functional teams and influence stakeholders. Ability to quickly absorb new information and concepts, with an enthusiasm for ongoing learning and professional development. Ability to prioritize and manage multiple tasks and projects, with a strong attention to detail and a focus on delivering high-quality results Desired Skills Experience in AWS cloud (using Lamda, knowing how to work in Glue) Experience with ETL workflows (Apache Airflow, Pysparx) Pay Information Full-Time Salary Range: $65500.00 - $121700.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
Description Full-Time | Remote or Draper, UT Campus (Hybrid) Join Us in Transforming Healthcare Education At Joyce University, the work we do goes beyond technology—it helps move the University forward and supports our mission of preparing people to serve as competent professionals, advance their careers, and pursue lifelong learning. We are seeking a Data Engineer to help build and strengthen the data foundation that supports decision-making across Joyce University. In this role, you will design, build, and maintain the data pipelines and data warehouse that bring information together from the University's core systems and make it accurate, secure, accessible, and ready for analysis. You will work closely with teams across the University to understand their reporting and data needs and turn those needs into reliable, reusable data solutions. Your work will support everything from everyday operational decisions to strategic planning, compliance and regulatory reporting, accreditation, and institutional analytics. This is an opportunity to play an important role in building a modern, trusted data environment at a growing university focused on healthcare education. What You'll Do Data pipelines and integration Design, build and maintain ETL/ELT pipelines that load data from the SIS, LMS, CRM, and third-party sources. Build integrations through APIs, flat files and database connections, including scheduled and incremental loads. Monitor pipeline runs, set up alerting, and fix failures quickly with documented root-cause notes. Data warehouse and modeling Design and maintain the University data warehouse using dimensional modeling (star schemas, conformed dimensions, slowly changing dimensions). Create curated, reusable datasets for key areas such as enrollment, retention, course success, financial aid and finance. Tune SQL Server performance through indexing, partitioning and query optimization. Data quality, governance and security Build automated data-quality checks and reconcile warehouse figures against source systems. Apply role-based access, encryption and masking so data use complies with FERPA, GLBA and University policy. Reporting and analytics support Deliver data sources and semantic models for Sigma and help report builders use them well. Supply accurate data for state and federal reporting (IPEDS), accreditation and internal dashboards. Translate stakeholder requests into clear requirements, user stories and acceptance criteria. Planning and collaboration Evaluate current data systems and recommend improvements in architecture, tooling and process. Use version control (Git), code review and change management for all pipeline and database code. Share project status, risks and changes with stakeholders and leadership. Perform other related duties as assigned. What We Offer At Joyce, we believe great work starts with an environment where people feel trusted, supported, and connected to a meaningful purpose. Self-directed paid time off 12 paid holidays Medical, dental, and vision insurance Employer-paid short-term and long-term disability coverage 401(k) retirement plan Professional development opportunities Continuing education opportunities A mission-driven environment focused on healthcare education and student success The flexibility to work fully remote or in a hybrid arrangement from our Draper, Utah campus Requirements What You'll Bring We welcome candidates who bring a strong technical foundation, curiosity, and a commitment to building data solutions that are useful, reliable, and sustainable. You should be comfortable working independently while also partnering with technical and non-technical colleagues across the University. Required Qualifications Bachelor's degree in computer science, information systems, data science, or a related field, or an equivalent combination of education and experience. 3+ years of experience building and supporting data pipelines or data warehouses in a production environment. Advanced SQL skills, including complex queries, stored procedures, and performance tuning, ideally in Snowflake. Hands-on experience with at least one ETL tool such as SSIS, Azure Data Factory, dbt, or similar. Working knowledge of dimensional data modeling and data warehouse design. Experience with at least one scripting language, such as Python or PowerShell, for automation and data processing. Clear written and verbal communication skills with both technical and non-technical colleagues. What You'll Love About Joyce At Joyce, we believe meaningful work and a great employee experience go hand in hand. Here, you'll find a community that cares about the work we do, the people we serve, and the people we work alongside. Purposeful Work – Your work helps support the people, systems, and decisions that move healthcare education forward and ultimately make a difference for our students. A Culture of Care – We believe in treating people with warmth, respect, and genuine care. Unreasonable Hospitality is the floor, not the ceiling. Flexibility & Trust – We trust our people to do great work. This role offers the flexibility to work fully remote or in a hybrid arrangement from our Draper, Utah campus. Learning & Growth – We believe learning never stops. You'll have opportunities to build your skills, pursue professional development, and grow alongside a University that is continuing to evolve. People Who Care – You'll work with talented, collaborative colleagues who are committed to helping one another succeed and creating a positive experience for our students and each other. A Growing University – Joyce is a place where your ideas can make an impact. As we grow and innovate, you'll have opportunities to help shape how we work and build what comes next. Work That Matters – Every interaction moves the student forward. No matter your role, the work you do at Joyce contributes to preparing the next generation of healthcare professionals. About Joyce University Joyce University of Nursing & Health Sciences is committed to preparing people to serve as competent professionals, advance their careers, and pursue lifelong learning. Founded in 1979, Joyce has grown into a leading healthcare education institution with pre- and post-licensure programs designed to prepare students for meaningful careers in healthcare. We are a community that values Service, Learning, Integrity, Caring, and Excellence and we believe every interaction has the opportunity to move the student journey forward.
We're looking for a modern Data Engineer who thrives at the intersection of data, cloud, and AI. You build the systems that power insight — scalable pipelines, cloud-native data platforms, and intelligent workflows that turn raw data into business value at speed. In this role, you'll architect and own our data infrastructure end-to-end: designing pipelines, optimizing data warehouses on platforms like Snowflake and Redshift, and leveraging AI-assisted tooling and agentic development practices to move faster and smarter. You bring a builder's mindset, are fluent in modern data stacks, and are energized by a rapidly evolving technology landscape. This is a full-time, in-person role at our Victoria office. What you'll do: Support the building of data acquisition and preparation processes Creating data integration scripts and executing analytical queries that transform and utilize data for business insights Data pipeline maintenance/testing Facilitate data cleansing and data enrichment Identify ways to improve data reliability, efficiency, and quality Prepare data for predictive and prescriptive modeling Support machine learning operations (MLOps) Enable searching, data visualization, and advanced analytics — including building and maintaining dashboards and reports in Tableau and Power BI to drive self-serve analytics across the business Design, build, and maintain a semantic layer of data — a governed, business-ready data foundation that serves as the trusted source for BI, reporting, and AI data agents Work with stakeholders to understand needs for data structure, availability, and accessibility Selecting and integrating any data tools and frameworks required to provide requested capabilities Implement data security and protection practices Designing and developing databases Create technical documentation, such as user manuals, process flow diagrams, system architecture diagrams, etc. Responsible for ensuring the accuracy and quality of data What you bring: EXPERIENCE/TRAINING/EDUCATION: At least four years' experience is preferred. COMMUNICATION SKILLS: Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. Problem-solving, teamwork, and effective communication with both technical and non-technical audiences are crucial. REASONING ABILITY: High Skills: Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. MATHEMATICAL SKILLS: High Skills: Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. SKILLS/ABILITIES: Knowledge of various ETL techniques and frameworks Strong background with data modeling, data access, and data storage techniques Proficiency in Application Development code like Python, C#, R or Java Strong background to manage the entire back-end development life cycle of a data warehouse Proficiency understanding of Data Store technologies like Relational Databases and NoSQL but not limited to those Know
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ABOUT ODAIA ODAIA noun o·da·ia | 'oh-day-yeah An Ancient Greek word referring to "?d?", the word for song, and the root of melody, harmony, and orchestra. We chose it deliberately: the best commercial intelligence doesn't just inform ? it orchestrates. To learn more visit odaia.ai. ODAIA delivers AI-powered commercial intelligence for life sciences - unifying data, accelerating results, and helping commercial teams deepen engagement to enhance care for providers and patients. ODAIA's AI platform transforms complex data into predictive, personalized insights, enabling commercial leaders to understand their customers, anticipate prescribing behaviors, and make the informed, strategic decisions that bring therapies to patients faster. OUR MISSION Reducing patients? time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI. WHAT?S ON OFFER As a Data Implementation Engineer reporting to the Manager, Technical Implementations, you will play a critical role in configuring and implementing our AI-driven platform to enable our customer?s success. You will partner closely with the Business Acceleration and Engineering teams throughout the entirety of the customer lifecycle and be responsible for managing all data-related activities. The ideal candidate will have strong technical fluency - especially in data analysis, querying, and ETL. Please include a cover letter with your application outlining your relevant experience and interest in this role, you can describe a project you?ve worked on that relates to one of the ?What you bring? or ?What you will do? points, and share how you?d expand on it here at ODAIA. WHAT YOU WILL DO Work directly with customers to discover, assess, and integrate their data assets into our platform Collaborate with customers, our support team, and other internal teams to define technical requirements and triage reported issues for each implementation Configure and deploy platform solutions tailored to each customer, connecting seamlessly with their existing systems Build and maintain automated ETL workflows, using tools like Snowflake and AWS Glue, to enable repeatable, high-quality data ingestion Troubleshoot issues across the data pipeline - from ingestion and transformation through orchestration and system configuration - leading resolution efforts Own the weekly data delivery cycle for assigned customers, proactively resolving issues to keep deliveries on time and error-free Identify recurring manual work in the implementation and delivery process - including manual trigger steps - and automate it to improve scalability Uphold data security and privacy protocols in line with industry standards WHAT YOU BRING 3+ years of experience with data migration, ETL, and pipeline tools 3+ years of hands-on experience with Snowflake and AWS (e.g., Glue, S3), or equivalent cloud data infrastructure Strong proficiency in Python and SQL Experience with APIs and integration frameworks Familiarity with orchestration tools (e.g., Dagster, Airflow) and config-driven/declarative pipeline systems (e.g., dbt) is a strong asset Strong problem-solving skills and a customer-centric mindset, comfortable owning ambiguous technical problems directly with customers Excellent communication skills, able to translate between technical and non-technical stakeholders Experience in the life sciences/pharma industry, including familiarity with tools like Veeva Vault or Salesforce, is a strong asset WHAT WE OFFER Values-Based Culture We Ignite Innovation, Own It, and Stand Together AI-Native Environment At ODAIA, we don't just deliver AI ? we live it. We use AI and agentic automation to 10x our efficiency and impact, encouraging constant curiosity in leveraging and integrating AI Comprehensive Rewards Meaningful stock option grants, immediate medical/dental enrollment, and flexible time off Remote-First Flexi
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube . Job Description: As an engineer on the HMS DevOps/DevEx Team, you will write the automation, configure the environments, and build the CI/CD pipelines that power the software development lifecycle across Hivemind Solutions. Your work is hands-on and focused on engineering maximum velocity, reproducibility, and security into our distributed developer tooling and cloud testing environments. You will completely automate tool workflows by writing scripts and API integrations connecting GitLab, Jira, and Confluence. You will configure and optimize C++, Python, and Node.js compilation pipelines, scale auto-running GitLab runner fleets, manage secure Artifactory container registries, deploy Forge in Azure Gov Cloud, and write custom HMS extensions to our pi-gov GenAI routing harness. What you'll do: Write, configure, and maintain robust GitLab CI/CD pipelines and runner environments for C++, Python, and Node.js software projects, ensuring fast compilation and test execution. Build, test, and deploy automated tooling integrations, webhook dispatchers, and state-change scripts connecting GitLab, Jira, and Confluence to orchestrate release workflows. Write custom Python or Bash extensions for our pi-gov harness, configuring secure, audited LLM routing rules and local container configurations. Deploy, scale, and configure the Forge simulation and test orchestrator in Azure Gov Cloud, optimizing runner autoscaling and cloud compute consumption. Maintain, configure, and secure Artifactory package registries, implementing secure container builds via BuildKit, secret injection, and Entra ID integration. Partner with development teams to migrate legacy project build systems to reproducible Nix developer environments, writing default Nix derivations and flake configurations. Troubleshoot pipeline failures, broken builds, registry access issues, and system-level configuration drift across development environments. Required qualifications: Typically requires a Bachelor's degree in Computer Science, Computer Engineering, or related technical discipline, or equivalent practical experience. Practical experience building, maintaining, and scaling enterprise CI/CD systems, with deep expertise in GitLab CI/CD pipelines and runner infrastructure. Direct experience writing scripts (Bash, Python) and utilizing webhooks/APIs to automate and integrate engineering tools (such as Jira, Confluence, and GitLab). Hands-on experience with containerization (Docker, multi-stage builds) and package managers (such as Conan, Poetry, or Nix). Familiarity with deploying and managing application workloads in cloud environments (such as Azure Gov Cloud or AWS). Experience with secure software development practices, secret management, and identity providers (Active Directory, Entra ID). Solid Linux system administration, networking, and troubleshooting skills. Ability to obtain and maintain an active U.S. SECRET security clearance (U.S. citizenship required). $150,000 - $230,000 a year #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Requisition Number: 30534 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $78,406.00 - $105,000.00 Security Clearance: Ability to Obtain Level of Experience: Mid HI This opportunity resides with All-Domain Operations (ADO) , a business group within HII's Mission Technologies division. All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence operations. HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision-making. With data fusion and mission management capabilities for the Department of Defense, the combatant commands and the intelligence community, HII advances the mission around the globe. Leadership Mindset at HII – Mission Technologies Role Leadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every employee grows, leads, and contributes—regardless of role. It sets the standard for how you can develop yourself and what you can expect from leaders across our organization. We look for candidates who want to grow in alignment with these capabilities: Know & Grow Your People – Commit to learning and supporting team success. Build Relationships – Communicate openly, collaborate well, and build trust. Take Ownership – Deliver on commitments and take pride in your work. Customer First – Focus on the mission and those we serve. Shape the Future – Bring ideas, curiosity, and continuous improvement. Act with Urgency – Take initiative and follow through with purpose. These capabilities guide how all employees contribute to our shared success across Mission Technologies. Job Description HII Mission Technologies has been selected as one of Military.com's "Top 25 Employers for Veterans in 2024" and a Forbes Best Large Employer for 2023. Are you ready to take your career to the next level? We are seeking skilled and motivated Engineers to join our team. Position Summary HII: Mission Technologies is seeking is seeking a qualified, proactive, and customer-focused Software Engineer for The U.S. Army DEVCOM Ground Vehicle Systems Center (GVSC) in Warren, MI. We're seeking a DevSecOps practitioner with strong experience enabling modern software delivery practices across development teams. The ideal candidate excels at designing and maintaining GitLab CI/CD pipelines, building and securing containerized applications, and guiding teams through tooling and process improvements. This role requires on-site work in Warren, MI and cannot be performed remotely. Come support our work with Ground Vehicle Systems Center and join a high-performing team of engineers! Details Below! Essential Job Responsibilities Develop, optimize, and maintain CI/CD pipelines in GitLab for multiple software development teams. Build, manage, and secure containerized applications using industry-standard tools and containerization best practices. Lead and support migration efforts from Bitbucket to GitLab, ensuring smooth transitions and minimal disruption. Apply strong knowledge of build servers and GitLab Runners to support reliable, scalable automation. Embed security best practices into development and deployment workflows. Train, mentor, and coach team members on DevSecOps tools, principles, and processes. Minimum Qualifications 2 years relevant experience with Bachelors in related field; 0 years experience with Masters in related field; or High School Diploma or equivalent and 6 years relevant experience. Solid experience with hands on GitLab Experience developing CI/CD pipelines Containerization & Orchestration: Docker – building, securing, and managing container images Kubernetes – deploying, configuring, and securing containerized workloads (even if not an expert, familiarity is important) Infrastructure as Code (IaC): Terraform – provisioning cloud or on‑prem infrastructure Ansible – configuration management, environment automation Cloud Platforms: AWS, Azure or GCP Security Tooling & DevSecOps Practices : SAST/DAST tools Secrets management tools (e.g., HashiCorp Vault, GitLab's secure variables) Build Automation & Runners: GitLab Runner, configuring, scaling, troubleshooting Monitoring & Logging: Prometheus + Grafana – especially common in DevSecOps pipelines ELK stack or OpenSearch – log aggregation Basic observability practices System Administration Adjacent Skills: Linux administration – strong comfort with shell, systemd, processes, permissions Networking fundamentals – DNS, firewalls, routing, certificates/TLS Package management, patching, and server hardening basics Collaboration & Process Tools: Jira or similar workflow/issue tracking tools Confluence or wiki-based documentation Ability to obtain and maintain a DoD Secret clearance (U.S. citizenship required) Preferred Requirements A Secret clearance with the US DoD Experience working in DoD environments Experience with other build servers is a plus (Jenkins, GitHub Actions), but not required Helm – helpful for Kubernetes‑based deployments Dependency and container image scanning tools (e.g., Trivy, Anchore, Clair) Physical Requirements Adequate visual acuity and manual dexterity for meeting the requirements Software Engineer family. The listed salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration which include, but are not limited to, the role's function and a candidate's education or training, work experience, and key skills. Meet HII's Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072 HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application. Why HII We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career. Together we are working to ensure a future where everyone can be free and thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1-844-849-8463 for assistance. Press #3 for HII Mission Technologies.
SciTec, a Firefly Aerospace company, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. Applicants that do not meet this requirement will not be considered. We are seeking a Principal Software Engineer to serve as our Deployment Environments Domain Lead. In this role, you will establish repeatable, secure, observable, and reliable practices for building, packaging, deploying, and operating the software that supports our mission critical data processing, visualization, and operational workflows. This role is hands on and combines deep technical work with technical stewardship: you will assess how our teams build and deploy software today, establish evidence-based recommendations, build reference implementations, and work directly with engineers to raise our organization-wide capability. The ideal candidate has deep, production-grade expertise in CI/CD, containerization, and Kubernetes, the ability to evaluate deployment approaches against real workload requirements, and the communication and mentoring skills to turn that expertise into practical guidance that other engineers can adopt independently. Responsibilities: The Infrastructure Principal Engineer will support various infrastructure and compute requirements across multiple locations. This person will have expertise in building and maintaining infrastructure platforms based on technologies such as VMWare, Linux and Windows. They will embody eagerness to create and own processes for enhancing the team and streamlining processes. Assess current build, packaging, and deployment practices, recurring problems, and capability gaps across engineering teams. Define evaluation criteria to select and maintain a Core Collection of recommended deployment technologies, patterns, and practices. Document recommended technologies, valid alternatives, and exceptional cases through decision guides, reference architectures, architecture decision records (ADRs), runbooks, and troubleshooting guides. Build and maintain validated reference pipelines, Helm charts, container images, and starter templates for common deployment use cases. Guide CI/CD pipeline design, automation, artifact management, and reproducible builds. Establish practices for container image construction, dependency management, image optimization, and image security. Guide Kubernetes architecture, scheduling, resource management, and workload orchestration. Establish practices for Helm and other deployment packaging, configuration management, and secrets handling. Improve local and development environments, environment provisioning, and integration testing workflows. Guide deployment strategies, rollback, release promotion, and compatibility management. Establish practices for health checks, observability, resource limits, scaling, resilience, disaster recovery, and software supply-chain security. Partner with engineers through pair programming, design and code reviews, troubleshooting, and focused workshops to support consistent adoption of recommended practices. Collaborate with Data Storage and Workload Communications domain leads on cross-domain problems such as memory pressure, pod restarts, connection saturation, and end-to-end throughput and latency. Coordinate with enterprise infrastructure and platform teams on ownership boundaries for cluster operations, cloud accounts, networking, and infrastructure provisioning. Periodically reassess and update recommendations and documentation as technologies, workloads, and engineering needs change. Track adoption and engineering outcomes against established baselines and report results to engineering leadership. Perform other duties as assigned. Requirements Bachelor's degree in Computer Science, Engineering, Mathematics, Physical Sciences, or a related technical field. 10+ years of professional experience designing, implementing, and troubleshooting production software systems, including significant experience with build and deployment infrastructure. Deep experience with containerization (Docker and/or Podman), including image construction, optimization, and security. Deep production experience with Kubernetes, including resource management, scheduling, and troubleshooting. Experience packaging and deploying workloads with Helm or similar tools. Experience designing and maintaining production CI/CD pipelines (GitLab CI/CD, GitHub Actions, Jenkins). Experience with local Kubernetes environments (e.g., Minikube, KinD) for development and integration testing. Experience with observability, logging, and monitoring for containerized workloads. Demonstrated ability to evaluate technical alternatives, validate them through prototypes or pilots, and clearly articulate their tradeoffs. Proficiency in at least one programming or scripting language such as Python, Go, Bash, or TypeScript/Node.js. Comfortable working in Linux development environments. Strong technical writing, mentoring, and cross-team communication skills, with the ability to influence engineering practices through technical credibility. Ability to obtain and maintain a DoD security clearance. Candidates meeting the following criteria will be preferred Candidates who have any of the following skills will be preferred: Experience leading technology standardization, technical governance, or internal developer platform efforts across multiple teams. Experience with managed Kubernetes (e.g., Amazon EKS) and AWS or Azure cloud environments. Experience with Terraform or other infrastructure-as-code tools. Experience with software supply-chain security (e.g., SBOMs, image signing, vulnerability scanning) and DevSecOps practices. Experience deploying software in restricted, air-gapped, or classified environments. Active DoD Secret clearance or higher. Benefits SciTec offers a highly competitive salary and benefits package, including: 4% Safe Harbor 401(k) match 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance 100% company paid Hospital Indemnity insurance Voluntary Accident and Critical Illness insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $151,000 - $201,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. VET/Disabled.
SciTec, a Firefly Aerospace company, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. Applicants that do not meet this requirement will not be considered. We are seeking a Principal Software Engineer to serve as our Deployment Environments Domain Lead. In this role, you will establish repeatable, secure, observable, and reliable practices for building, packaging, deploying, and operating the software that supports our mission critical data processing, visualization, and operational workflows. This role is hands on and combines deep technical work with technical stewardship: you will assess how our teams build and deploy software today, establish evidence-based recommendations, build reference implementations, and work directly with engineers to raise our organization-wide capability. The ideal candidate has deep, production-grade expertise in CI/CD, containerization, and Kubernetes, the ability to evaluate deployment approaches against real workload requirements, and the communication and mentoring skills to turn that expertise into practical guidance that other engineers can adopt independently. Responsibilities: The Infrastructure Principal Engineer will support various infrastructure and compute requirements across multiple locations. This person will have expertise in building and maintaining infrastructure platforms based on technologies such as VMWare, Linux and Windows. They will embody eagerness to create and own processes for enhancing the team and streamlining processes. Assess current build, packaging, and deployment practices, recurring problems, and capability gaps across engineering teams. Define evaluation criteria to select and maintain a Core Collection of recommended deployment technologies, patterns, and practices. Document recommended technologies, valid alternatives, and exceptional cases through decision guides, reference architectures, architecture decision records (ADRs), runbooks, and troubleshooting guides. Build and maintain validated reference pipelines, Helm charts, container images, and starter templates for common deployment use cases. Guide CI/CD pipeline design, automation, artifact management, and reproducible builds. Establish practices for container image construction, dependency management, image optimization, and image security. Guide Kubernetes architecture, scheduling, resource management, and workload orchestration. Establish practices for Helm and other deployment packaging, configuration management, and secrets handling. Improve local and development environments, environment provisioning, and integration testing workflows. Guide deployment strategies, rollback, release promotion, and compatibility management. Establish practices for health checks, observability, resource limits, scaling, resilience, disaster recovery, and software supply-chain security. Partner with engineers through pair programming, design and code reviews, troubleshooting, and focused workshops to support consistent adoption of recommended practices. Collaborate with Data Storage and Workload Communications domain leads on cross-domain problems such as memory pressure, pod restarts, connection saturation, and end-to-end throughput and latency. Coordinate with enterprise infrastructure and platform teams on ownership boundaries for cluster operations, cloud accounts, networking, and infrastructure provisioning. Periodically reassess and update recommendations and documentation as technologies, workloads, and engineering needs change. Track adoption and engineering outcomes against established baselines and report results to engineering leadership. Perform other duties as assigned. Requirements Bachelor's degree in Computer Science, Engineering, Mathematics, Physical Sciences, or a related technical field. 10+ years of professional experience designing, implementing, and troubleshooting production software systems, including significant experience with build and deployment infrastructure. Deep experience with containerization (Docker and/or Podman), including image construction, optimization, and security. Deep production experience with Kubernetes, including resource management, scheduling, and troubleshooting. Experience packaging and deploying workloads with Helm or similar tools. Experience designing and maintaining production CI/CD pipelines (GitLab CI/CD, GitHub Actions, Jenkins). Experience with local Kubernetes environments (e.g., Minikube, KinD) for development and integration testing. Experience with observability, logging, and monitoring for containerized workloads. Demonstrated ability to evaluate technical alternatives, validate them through prototypes or pilots, and clearly articulate their tradeoffs. Proficiency in at least one programming or scripting language such as Python, Go, Bash, or TypeScript/Node.js. Comfortable working in Linux development environments. Strong technical writing, mentoring, and cross-team communication skills, with the ability to influence engineering practices through technical credibility. Ability to obtain and maintain a DoD security clearance. Candidates meeting the following criteria will be preferred Candidates who have any of the following skills will be preferred: Experience leading technology standardization, technical governance, or internal developer platform efforts across multiple teams. Experience with managed Kubernetes (e.g., Amazon EKS) and AWS or Azure cloud environments. Experience with Terraform or other infrastructure-as-code tools. Experience with software supply-chain security (e.g., SBOMs, image signing, vulnerability scanning) and DevSecOps practices. Experience deploying software in restricted, air-gapped, or classified environments. Active DoD Secret clearance or higher. Benefits SciTec offers a highly competitive salary and benefits package, including: 4% Safe Harbor 401(k) match 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance 100% company paid Hospital Indemnity insurance Voluntary Accident and Critical Illness insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $151,000 - $201,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. VET/Disabled.
Jd Job Requirements Experience Level Senior About The Role We are seeking a hands-on Cloud Engineer GCP Cloud to own the end-to-end architecture, deployment, and operational resilience of our Google Cloud Platform. In this role, you will act as both a strategic architect and a hands-on builder. You will lead the platform from Day 0 greenfield setup to production-ready infrastructure using Infrastructure as Code establish robust Site Reliability Engineering and observability practices and deploy the foundation powering our Agentic AI Solution Platform. Key Responsibilities Day GCP Architecture Setup Establish enterprise-grade GCP landing zones from scratch, including Organization Structure, IAM, and Security controls. Design and execute core cloud networking: VPCs, Shared VPCs, Firewalls, and Private Service Connect Infrastructure as Code Automation Write, test, and maintain 100% automated infrastructure code using Terraform for reproducible multi-environment setups. Build automated CI/CD pipelines for seamless infrastructure and service deployments. SRE, Observability & Reliability Engineering Establish SRE frameworks from the ground up defining SLIs, SLOs, SLAs, error budgets, runbooks, and automated incident response. Architect full-stack telemetry and observability solutions using Google Cloud Operations Suite along with Prometheus, Grafana, OpenTelemetry or Datadog. Implement custom observability for host, container, and application metrics, including dedicated tracking for LLM performance and agent latency. Design and implement Multi-Zone and Multi-Region architectures with Active-Active/Active-Passive deployment models. Security Identity Management Design and enforce enterprise-grade auth frameworks, including OAuth 2.0, OpenID Connect SAML, and Zero Trust access controls. Required Qualifications Experience GCP Expertise: 6–8+ years designing, operating, and automating production environments on Google Cloud Platform. Proven Track Record: Proven experience leading at least 3 enterprise-scale production projects built on GCP from inception through post-launch management. Terraform Mastery: Deep expertise building complex GCP environments exclusively through custom Terraform modules and automated IaC pipelines. DevOps & Scripting: Proficient in Python, Bash, Docker, and modern CI/CD tools. Certifications: GCP Professional Cloud Architect credential preferred. Work Experience 5-7Years
Washington D.C. Pay Range: $120,000 - $140,000 USD LightFeather is seeking a GCP Cloud/DevOps Engineer who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment. This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment. Location: In-Person (5 days/week) in Washington, DC Job Type: Full Time Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level security clearance Key Responsibilities Design, implement, and manage secure and scalable cloud infrastructure using GCP. Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools. Support CI/CD pipeline automation, integration, and management. Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows. Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs. Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST). Provide documentation and knowledge sharing with the broader engineering team. Required Qualifications Willing to obtain a security clearance. 4+ years of experience in cloud engineering, with at least 2 years on GCP. Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery. Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager. Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build. Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes). Experience working in an Agile/Scrum environment. Preferred Skills GCP Professional Cloud Architect or DevOps Engineer certification. Experience supporting federal government contracts and understanding of ATO processes. Familiarity with other cloud platforms (AWS, Azure) is a plus. Scripting skills in Python, Bash, or Go. Why Join LightFeather? At LightFeather, you're not just taking a job—you're joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You'll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry. LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.